yandexcloud
The Yandex Cloud official SDK
Decision gist · record as of 2026-08-14
Yes. The SDK is actively maintained, has low install friction, carries a permissive MIT license, and supports current Python versions. It is the official client for Yandex.Cloud and necessary if you need programmatic access to Yandex.Cloud services. No known vulnerabilities. Install it if you are building on the Yandex.Cloud platform.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.9 or later; authentication credentials (Metadata Service, Service Account Key, or IAM token) must be configured before making API calls.
- Low install friction with a pure-wheel distribution.
- Active maintenance with a recent release (4 days old) and ongoing repository activity.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions, making it suitable for most deployment scenarios.
last release 2026-08-10 (4 days) · last repo commit 2026-08-14 · 103 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 15,480,148 downloads/mo, #1,186 on PyPI
Alternatives
Verify before relying
pip install yandexcloud
from yandexcloud import SDK
sdk = SDK(iam_token="t1.9eu...")- Whether all listed services (compute, storage, databases, AI, etc.) are fully functional in this version or if some are experimental.
- Performance characteristics and rate limits for typical workloads.
- Whether the SDK handles automatic token refresh for long-running applications.
What it is and what it does
The Yandex.Cloud SDK is the official Python client library for interacting with Yandex.Cloud infrastructure and managed services. It abstracts the underlying gRPC protocol and provides a unified interface to dozens of services including compute, storage, databases, AI models, networking, and monitoring. The SDK supports multiple authentication methods: Metadata Service for code running inside Yandex.Cloud VMs or functions, Service Account Keys for external automation, and externally-created IAM tokens.
The package handles credential management, endpoint configuration, and request marshalling to the Yandex.Cloud API. It depends on cryptography for key handling, grpcio and protobuf for RPC communication, googleapis-common-protos for shared protocol definitions, and pyjwt for token operations. The SDK is actively maintained and supports current Python versions (3.9 through 3.14).
Use it for
- Automate infrastructure provisioning and management for Yandex.Cloud resources like VMs, networks, and storage buckets.
- Build applications that interact with Yandex.Cloud managed databases (PostgreSQL, MySQL, MongoDB, Redis, etc.) or data services.
- Integrate Yandex.Cloud AI services (foundation models, OCR, speech-to-text, translation) into Python applications.
- Deploy and manage serverless functions, containers, and API gateways on Yandex.Cloud.
- Monitor and log infrastructure using Yandex.Cloud logging and monitoring services from Python code.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The SDK is actively maintained, has low install friction, carries a permissive MIT license, and supports current Python versions. It is the official client for Yandex.Cloud and necessary if you need programmatic access to Yandex.Cloud services. No known vulnerabilities. Install it if you are building on the Yandex.Cloud platform.
Install
yandexcloud on PyPI
Before you install
Low install friction with a pure-wheel distribution. Active maintenance with a recent release (4 days old) and ongoing repository activity. Depends on standard cryptography and gRPC libraries.
Requires Python 3.9 or later; authentication credentials (Metadata Service, Service Account Key, or IAM token) must be configured before making API calls.
License in practice
MIT license permits commercial and private use with minimal restrictions, making it suitable for most deployment scenarios.
Quickstart
pip install yandexcloud
from yandexcloud import SDK
sdk = SDK(iam_token="t1.9eu...")Verify before relying
- Whether all listed services (compute, storage, databases, AI, etc.) are fully functional in this version or if some are experimental.
- Performance characteristics and rate limits for typical workloads.
- Whether the SDK handles automatic token refresh for long-running applications.
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 9 packagescryptographygrpcioprotobufgoogleapis-common-protospyjwtrequestssixgrpcio-toolsdeprecated |
| Maintenance | Actively maintained 4 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 15,480,148 / month, #1,186 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Programming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: 3.9 |
Evidence: yandexcloud-0.403.0-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “yandex cloud python sdk”
- yandexcloudOfficial Python SDK for Yandex.Cloud that provides programmatic…
- apache-airflow-providers-yandexProvides Apache Airflow integration with Yandex.Cloud services,…
- yandex-query-clientHTTP client for submitting SQL queries to Yandex Query service and…
Give your agent the search over MCP, or paste the wish link into any chat.
More Internet packages
Botocore provides low-level, data-driven access to Amazon Web Services APIs, serving as the foundation for the AWS CLI and boto3 libraries.
Install it if you need programmatic access to AWS services.
Provides an async client for AWS services using botocore and aiohttp, allowing you to call AWS APIs asynchronously within asyncio-based applications.
Install it if you need to call AWS services from async Python code; it is the standard way to do so.
Pydantic validates Python data structures against type hints, coercing and checking input at runtime to ensure it matches a declared schema.
Provides a platform-independent file locking mechanism to coordinate access to files across processes and threads.
FastAPI is a Python web framework for building REST APIs using type hints, with automatic request validation, serialization, and interactive API documentation.
Provides common Protocol Buffer message definitions used across Google Cloud APIs, enabling Python clients to interact with Google services.
See also apache-airflow-providers-yandex · yandex-query-client · nebius · google-cloud-os-login · aliyun-python-sdk-ecs · google-cloud-iam · grpc-google-iam-v1 · ibm-platform-services · huaweicloudsdkecs · google-cloud-compute